Responsibilities:
and experienced Data Scientist with a robust background in data analysis, machine learning and R, as well as expertise in SQL for efficient data manipulation. Excellent problem-solving skills, exploring emerging technologies and methodologies in the data science field.Â
What you’ll do explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business.
mathematics, operational research, economics, data engineering, risk management, or equivalent industry training
Impact: Ensure responsible and compliant use of data.
Impact: Ensure the responsible and compliant use of data.
experienced and innovative Senior Data Scientist with a proven track record of delivering delivering advanced analytical solutions and driving data-centric decision-making in diverse industries. Demonstrates mentoring junior data scientists, and leading cross-functional teams to implement end-to-end data solutions influencing strategic business decisions through data-driven insights.Â
Â
What you’ll
quality as appropriate.
We are seeking a Graduate Data Scientist who will provide statistical analysis, forecasting explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex Analysts / Data Scientists / Use Case Owners in the business.
The Data Scientist works under the guidance of the Technology team and will be responsible for analyzing raw information (particularly unstructured text data) to find patterns, build models to address business problems, and present information using various data visualization techniques and platforms. Applying business problems, turning the company's volumes of big data into valuable and actionable insights. Collaborating applicable, undertaking data mining and developing and documenting robust and scalable data extraction tools
on your Data Scientist capabilities and be accountable for developing retail Analytical Data Assets (ADA) accompanying strategies for key WW Use Cases. Utilizing data analysis, predictive modelling techniques, simulation Statistics, Operational Research, Economics, Engineering, Risk Management, or equivalent industry training statistical analysis and manipulation of very large data sets.
Responsibilities: